[ecoop-info] [Models at run.time 2014] : CFP: 9th International Workshop on Models at run.time

Bencomo, Nelly n.bencomo at aston.ac.uk
Tue Jul 15 11:50:47 CEST 2014


Deadline submission approaching….

                                CALL FOR PAPERS
                9th International Workshop on Models at run.time
           Co-located with ACM/IEEE 17th International Conference on
           Model Driven Engineering Languages & Systems (MODELS 2014)
              September 28th - October 3rd, 2014, Valencia, Spain
                      http://st.inf.tu-dresden.de/MRT2014/
                                        
                                Important Dates

Submissions of papers: July         21th, 2014 (extended)
Notification:                 August      22nd, 2014
Camera-ready version:  September 20th, 2014
Workshop date:           September 30th, 2014

We are witnessing the emergence of new classes of application  that  are  highly
complex, inevitably distributed,   and  operate  in  heterogeneous  and  rapidly
changing environments. Such systems are required  to  be  adaptable,   flexible,
reconfigurable and, increasingly,   self-managing.   Such  characteristics  make
systems more prone to failure  when  executing  and  thus  the  development  and
study of  appropriate  mechanisms  for  runtime  validation  and  monitoring  is
required.

In the model-driven software development  area,   research  effort  has  focused
primarily on using models at design, implementation, and  deployment  stages  of
development. However, the use of  model-driven  techniques  for  validating  and
monitoring run-time behaviour  can  also  yield  significant  benefits.   A  key
benefit  is  that  models  provide  a  richer  semantic  base    for    run-time
decision-making. For example, one can  use  models  to  help  determine  when  a
system reconfiguration is beneficial. Model-based monitoring and  management  of
executing systems plays a  significant  role  in  implementing  the  key  self-*
properties associated with autonomic computing.

The  goal  of  this  workshop  is  to  look  at  issues  related  to  developing
appropriate model-driven approaches to managing  and  monitoring  the  execution
of systems. We  build  on  the  previous  events  where  we  have  succeeded  in
building a community and bringing about  an  initial  exploration  of  the  core
ideas  of  Models at Runtime  and  now  seek:    
- experiences with actual implementations of the models at run.time concept
- rationalisation of the various concepts into overall architectural 
  perspectives
- to make explicit the specific roles that models play at runtime. 
- impact on software engineering methodologies
- to continue to build a network of researchers in this emerging area, based on 
  the results of the earlier editions. 

Workshop Format
  
The workshop participants will be selected based on their experience  and  ideas
related to  this  new  and  emerging  field.   You  are  invited  to  apply  for
attendance by sending a full-paper (8-10 pages) or a position paper (5-6  pages)
in PDF. The paper must conform  to  the  Springer  LNCS  formatting  guidelines:
http://www.springer.com/computer/lncs (it is the same format of the  Conference,
see conference website for more information). Submissions will  be  reviewed  by
at least 3 PC members. The authors will  be  notified  about  acceptance  before
the MODELS 2014 early registration deadline.  Candidates  for  best  papers  (if
finally  chosen)  can  be  just  taken  from  the  category   of    full-papers.

A primary deliverable of the workshop is a  report  that  clearly  outlines  (1)
the research issues and challenges in terms of  specific  research  problems  in
the area, and (2) a synopsis  of  existing  model-based  solutions  that  target
some well-defined aspect of monitoring and managing the  execution  of  systems.
Potential attendees are strongly  encouraged  to  submit  position  papers  that
clearly identify  research  issues  and  challenges,   present  techniques  that
address well-defined problems in the area, and are  supported  by  small  demos.

The workshop aims to:

- Integrate  and  combine  research  ideas  from   the    areas    cited  above.
- Provide a “state-of-the-research” assessment expressed in  terms  of  research
issues, challenges, and accomplishments. A preliminary version of  the  intended
outcome can be found in the summary of  last  year's  models at run. time  workshop
(see homepage). 
- Plan and promote further events on these topics.


Papers on models at run.time  can  relate (but are not limited)  to  the  following 
domains:
-	Safety-critical systems
-	Cyber-physical systems
-	Energy-efficient systems
-	Cloud-based systems
-	Self-adaptive systems in general

We strongly encourage authors to  address the following topics in  their  papers 
when relevant. 
-	What a runtime model looks like and how does it evolve? 
-	How are the causal links with executing code realized? 
-	The role of models at run.time in the software development process 
-	Models at runtime, the silver bullet for runtime assurance and V&V? 
-	Role of requirement at runtime, requirements reflection 
-	MDE at Runtime: Are MDE tools ready (performance, etc.) for more dynamic usages?
-	How do models at other phases of the SE lifecycle relate to the corresponding 
  runtime models?
-	Models at runtime and scalability: horizontally (managing large set of nodes) and
  vertically (from the cloud to the sensors)
-	Models at runtime and software aging: does it help or hurt?
-	Small demos and tools that support the use of models at run.time 
-	Vision papers on novel future directions for models at runtime 
-	No papers on executable models, unless they are causally (bi-)connected to a 
  running system.

Organizers  

- Sebastian Götz (main contact), TU Dresden, Germany 
- Mohammed Al-Refai, Colorado State University, USA
- Nelly Bencomo, Aston University, UK
- Robert France, Colorado State University, USA

Programme Committee  

- Christoph Bockisch, Uni. Twente, Netherlands
- Walter Cazzola, Uni. Milano, Italy
- Franck Chauvel, SINTEF, Norway
- Peter J. Clark, Florida International University, USA
- Fabio Costa, Federal University of Goias, Brazil 
- Antonio Filieri, Universität Stuttgart, Germany
- Holger Giese, Universität Potsdam, Germany
- Martin Gogolla, Universität Bremen, Germany
- Gang Huang, Peking University, China
- Jean-Marc Jézéquel, Triskell Team,IRISA, France
- Sam Malek, George Mason University, USA 
- Rui Silva Moreira, UFP & INESC, Portugal 
- Hausi A. Müller, Uni. of Victoria, Canada
- Bernhard Rumpe, RWTH Aachen, Germany
- Matthias Tichy, Uni. Gothenborg, Germany
- Mario Trapp, Fraunhofer IESE, Germany
- Arnor Solberg, SINTEF, Norway
- Hui Song, SINTEF, Norway
- Thaís Vasconcelos Batista, UFRN, Brasil
- Thomas Vogel, Universität Potsdam, Germany
- Andreas Winter, Universität Oldenburg, Germany
- Uwe Zdun, Uni. Vienna, Austria
———————————————————————
Nelly Bencomo
Lecturer in Computer Science
ALICE: Aston Lab for Intelligent Collectives Engineering
http://alice.aston.ac.uk/
Aston Institute for Systems Analytics

Address:  School of Engineering and Applied Science, MB212C
		Aston University,  B4 7ET, Birmingham, UK

email: nelly at acm.org 
web:   www.nellybencomo.me 
 



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